Senior Staff Engineer, Enterprise Data Platform
Sandisk•Milpitas, CA
About The Position
We are seeking a hands-on Senior Staff Engineer, Enterprise Data Platform to lead the design, implementation, and modernization of our enterprise-wide data platform—including data governance, lakehouse architecture, engineering pipelines, analytics, and AI-driven solutions. This role requires deep technical expertise, strategic vision, and executional leadership to build a scalable, governed, and intelligent data ecosystem across cloud and on-prem environments.
Requirements
- 9+ years of hands-on experience in data architecture, engineering, and analytics delivery.
- Proven success in building modern data platforms on cloud (AWS, Azure, GCP).
- Deep knowledge of data lakehouse architectures (e.g., Databricks, Fabric).
- Proficiency with Python, SQL, Spark, and orchestration frameworks.
- Experience with ETL/ELT tools (e.g., Informatica, Talend, Fivetran) and containerization (Docker, Kubernetes).
- Strong background in data modeling (ERD, star/snowflake, canonical models).
- Familiarity with REST APIs, GraphQL, and event-driven design.
- Demonstrated experience integrating AI/ML and GenAI components into data platforms.
Nice To Haves
- 15+ years of experience including solution architecture roles for large-scale data initiatives.
- Experience with BI/visualization tools like Power BI, Tableau, and Looker.
- Understanding of Master Data Management, data profiling, cleansing, and enrichment techniques.
- Exposure to DataOps and DevOps practices for CI/CD and platform automation.
- Strong analytical and problem-solving skills with the ability to communicate clearly to both technical and business audiences.
- Knowledge of high-tech business domains such as engineering, sales, finance, supply chain, or semiconductor operations is a strong plus.
- Knowledge of SAP and SAP-BDC a plus
Responsibilities
- Define and continuously evolve the target data architecture across the stack—Data Governance, data engineering, data modeling and Databricks lakehouse in Azure and GCP
- Translate business and technical goals into scalable and resilient platform designs.
- Own and maintain architectural roadmaps, standards, and decision frameworks.
- Act as the bridge between architects, Business SME/Analysts, data engineers, and analytics teams to ensure alignment and compliance with platform standards.
- Build and maintain Databricks Lakehouse platforms using Delta Lake, Iceberg, or equivalent technologies.
- Design and implement modern ELT/ETL pipelines using tools like Spark, Python, SQL, Scala, and cloud-native components (e.g., Fivetran, Databricks, Snowflake, BigQuery).
- Manage data ingestion from heterogeneous sources including ERP, CRM, IoT, and third-party APIs.
- Guide hands-on development of robust, reusable, and automated data flows in Azure and GCP
- Implement and enforce data governance frameworks including data lineage, metadata management, and access controls.
- Partner with Data Stewards and Governance Analysts to catalog data domains, define entities, and ensure SOX compliance.
- Drive adoption of tools like Atlan and Unity Catalog for metadata, quality, and stewardship.
- Develop data models (ERDs, dimensional and 3NF) and define canonical data representations.
- Define and maintain Data Products including end to end data flows, Data Lineage, Data Access and Data Catalog
- Review solution designs and provide architectural guidance to engineering teams.
- Mentor technical staff while fostering best practices and continuous improvement.
- Collaborate with DevOps to embed CI/CD, version control, and environment automation across the data lifecycle.
- Continuously assess and improve platform reliability, scalability, performance, and cost-efficiency
Benefits
- Short-Term Incentive (STI) Plan
- Long-Term Incentive (LTI) program (restricted stock units (RSUs) or cash equivalents)
- RSU awards for eligible new hires
- Paid vacation time
- Paid sick leave
- Medical/dental/vision insurance
- Life, accident and disability insurance
- Tax-advantaged flexible spending and health savings accounts
- Employee assistance program
- Supplemental life and AD&D
- Legal plan
- Pet insurance
- Critical illness
- Accident and hospital indemnity
- Tuition reimbursement
- Transit
- Applause Program
- Employee stock purchase plan
- Sandisk's Savings 401(k) Plan
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
